Senior Knowledge Graph & AI Scientist

Banco Santander SA; Santa Bàrbara; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Banco Santander SA is expanding its AI capabilities through the DAISci initiative. This Senior AI Scientist role focuses on knowledge representation, graph systems, and retrieval pipelines to empower AI agents across the local market.

You will work closely with data, engineering, and product teams to translate architectural guidance into reliable local solutions, while aligning with global standards and regulatory constraints.

Qualifications

• 5–10 years of experience in AI, data science, or ML systems in production.
• Experience designing and operating data pipelines or AI systems with requirements in high scalability, reliability, and maintainability.
• Experience collaborating across engineering, product, and business teams to deploy AI-enabled systems.
• Ability to translate architectural guidance into practical, working local solutions aligned with global platforms.
• Comfort operating as a strong individual contributor with ownership and responsibility within a distributed, multi-country AI organization.

Responsibilities

• Design, develop, and maintain local instances of the KNOWLEDGE BASE.
• Ensure structured and unstructured data are connected semantically and accessible to AI agents.
• Shape graph schemas, entity resolution strategies, metadata structures, and retrieval pipelines.
• Collaborate with global Knowledge Base leadership, sharing learnings and contributing to reusable components.
• Contribute to evaluation frameworks, monitoring practices, and continuous improvement of Knowledge Base components.

Skills

Knowledge representation

Graph modeling

Semantic data

Information retrieval

Python

Data pipelines

Machine learning

AI architectures

Job description

Banco Santander SA is expanding its AI capabilities through the DAISci initiative. This Senior AI Scientist role focuses on knowledge representation, graph systems, and retrieval pipelines to empower AI agents across the local market.

You will work closely with data, engineering, and product teams to translate architectural guidance into reliable local solutions, while aligning with global standards and regulatory constraints.